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Key Skills
Software
Data Annotation Tech
AppenTop Subject Matter
No subject matter listed
Top Data Types
Image
Document
AudioTop Task Types
Bounding Box
Segmentation
Point/Key PointFreelancer Overview
Detail-driven and analytically grounded, I bring a unique combination of hands-on data handling experience and academic training in human behaviour to the field of AI data annotation. Through remote administrative and data entry work, I have consistently managed, organised, and classified large volumes of structured information with high accuracy — skills that translate directly into text classification, entity tagging, sentiment labelling, and dataset quality assurance. My IBM-certified proficiency in Excel and foundational MySQL knowledge mean I can work within data pipelines, flag inconsistencies, and maintain clean, well-structured datasets that meet annotation standards. What sets me apart is the sociological lens I bring to human-centric AI tasks. As a final-year Sociology student at the University of Jos, I have been trained to analyse language, identify patterns in human behaviour, and interpret qualitative information with nuance — capabilities that are especially valuable in natural language processing (NLP) annotation, RLHF (Reinforcement Learning from Human Feedback) tasks, and content review workflows. Combined with a proven ability to follow detailed guidelines independently, sustain accuracy over repetitive tasks, and collaborate remotely, I am positioned to contribute meaningfully to AI training data projects from day one.